Computer Science – Information Retrieval
Scientific paper
2005-06-12
LREC 2002 Workshop Proceedings "Using semantics for informaiton retrival and filtering" (2002) 45-51
Computer Science
Information Retrieval
7 pp
Scientific paper
External linguistic resources have been used for a very long time in information extraction. These methods enrich a document with data that are semantically equivalent, in order to improve recall. For instance, some of these methods use synonym dictionaries. These dictionaries enrich a sentence with words that have a similar meaning. However, these methods present some serious drawbacks, since words are usually synonyms only in restricted contexts. The method we propose here consists of using word sense disambiguation rules (WSD) to restrict the selection of synonyms to only these that match a specific syntactico-semantic context. We show how WSD rules are built and how information extraction techniques can benefit from the application of these rules.
Brun Caroline
Jacquemin Bernard
Roux Claude
No associations
LandOfFree
Enriching a Text by Semantic Disambiguation for Information Extraction does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Enriching a Text by Semantic Disambiguation for Information Extraction, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Enriching a Text by Semantic Disambiguation for Information Extraction will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-526569